Training, policy and resident feedback software for property operators
Grace Hill sells training, compliance and feedback tools to multifamily owners and operators, with Yardi, Entrata and RealPage in its stack pointing to integrations with the major property management systems. An ML toolkit of PyTorch, scikit-learn, BERT and Vision Transformer alongside a Node.js/TypeScript/Vue app layer suggests AI-driven analysis of survey and shopping data. Small but accelerating hiring spans engineering, product and sales.
Grace Hill, founded in 1998, provides a technology platform for real estate owners and operators covering staff training, policy management, assessments, resident surveys and mystery shopping. The platform supports compliance, fair housing education and talent development for property teams. The privately held company employs 51–200 people in the United States. Its go-to-market runs on Salesforce, HubSpot, Apollo and Gainsight, with Chargebee handling subscription billing.
Grace Hill uses Node.js, TypeScript, Vue and PostgreSQL for its application, Python with PyTorch, scikit-learn and BERT for ML, and Salesforce, HubSpot, Gainsight and Chargebee for go-to-market and billing.
Yardi, Entrata and RealPage all appear in Grace Hill's tech stack, and current projects include SSO and API integration work.
Yes. Hiring is accelerating at a modest scale across engineering, product and sales, at mid-level and manager seniority, with roles based in the United States.
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Grace Hill's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.